Rolling Optimization Shift Strategy of Heavy Truck Considering Power Interruption in Shift Process

2025-01-7036

01/31/2025

Features
Event
SAE 2024 Vehicle Powertrain Diversification Technology Forum
Authors Abstract
Content
The optimization of gear shifting is a critical process in heavy-duty trucks for adjusting engine operating points, enabling a multi-objective balance between power, fuel efficiency, and comfort. However, this process is challenged by the nonlinear characteristics of engine fuel consumption, power interruptions during AMT (Automated Manual Transmission) shifts, and uncertainties in driving conditions. This study proposes a rolling optimization shift strategy for heavy trucks equipped with AMT, based on a multi-scale prediction of internal combustion engine fuel consumption on the road.
Firstly, a predictive model for the energy efficiency and dynamics of heavy-duty trucks with AMT was developed, accounting for the engine’s engine’s operating condition points and power interruptions during shifting. Secondly, a future power demand, vehicle speed, and fuel consumption prediction algorithm was designed, iterating based on accelerator pedal position forecasts and dynamic modeling. Finally, integrating the predicted future conditions, fuel consumption, and road characteristics, a cloud-assisted optimal gear rolling optimization algorithm was established, achieving a compromise between fuel consumption, shift frequency, and vehicle performance.
Simulation results on the GT-SUITE platform indicated that, compared with the rule-based shifting strategy in the ECU (Electronic Control Unit), the proposed method reduces fuel consumption by 2.1 % and shift frequency by 15.9 % under the C-WTVC. (C-WTVC refers to a driving cycle based on the World Transient Vehicle Cycle (WTVC) for heavy-duty commercial vehicles. It is modified by adjusting acceleration and deceleration to create a driving profile.) Road tests on heavy-duty trucks demonstrated fuel savings of 10.52 % in a 2-kilometer full acceleration scenario with 20%pedal, 7.26%savings with 90%pedal, and 4.32 % savings under free driving conditions. These results confirmed the effectiveness of the proposed method.
Meta TagsDetails
DOI
https://doi.org/10.4271/2025-01-7036
Pages
14
Citation
Liu, X., Zhou, Q., Zhang, L., Lv, D. et al., "Rolling Optimization Shift Strategy of Heavy Truck Considering Power Interruption in Shift Process," SAE Technical Paper 2025-01-7036, 2025, https://doi.org/10.4271/2025-01-7036.
Additional Details
Publisher
Published
Jan 31
Product Code
2025-01-7036
Content Type
Technical Paper
Language
English